System Post Silicon Validation Engineer, @ Google

Googles software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. Were looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will be part of the SoC Systems Performance Analysis team focused on driving system analysis and helping define next-generation architecture for Google s custom Silicon. You will develop and execute plans to validate performance, power across Fmax, and voltages for silicon.

Googles mission is to organize the worlds information and make it universally accessible and useful. Our Devices Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our users interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices Services team is making peoples lives better through technology.

• Work on silicon workload system analysis to deliver power/performance optimization across Product Verification Testing.
• Drive silicon validation and Vmin/Fmax/Power parametric collection, analysis, and correlation across high volume.
• Analyze system requirements and identify the most effective ways to improve system key performance indicators as a function of production parameters.
• Drive hardware Power feature enablement (e.g. dynamic clock and voltage scaling operations) with Software/Hardware Design and other teams.
• Create flow, and automation for execution and data analysis to identify process, hardware, and system related issues to ensure low DPPM.